在图像处理中,经常处理需要过滤处理一些噪声,opencv自带算法不一定能满足我们工程的要求,自己写了一个调暗处理的简单函数,记录下来:
//取ksize大小矩形区域内的最小值替代整个区域的像素值
void Ave2(Mat mat, Mat&ave,int ksize)
{
Size size(ksize, ksize);
ave = mat.clone();
for (int i = 0; i < mat.rows; i++)
{
for (int j = 0; j < mat.cols; j++)
{
int min = 256;
for (int m = 0; m < size.width; m++)
{
for (int n = 0; n < size.height; n++)
{
int x = m - size.width / 2 + j;
int y = n - size.height / 2 + i;
if (x < 0 || x >= mat.cols || y < 0 || y >= mat.rows)
continue;
int data = mat.at<unsigned char>(y, x);
if (data < min)
min = data;
}
}
ave.at<unsigned char>(i, j) = min;
}
}
}
//p点的size范围内如果非0值的数量小于threshold,则置为0
void myBlur(Mat mat,Mat& blur,Size size,int threshold)
{
blur = mat.clone();
for (int i = 0; i < mat.rows; i++)
{
for (int j = 0; j < mat.cols; j++)
{
int count = 0;
for (int m = 0; m < size.width; m++)
{
for (int n = 0; n < size.height; n++)
{
int x = m - size.width / 2 + j;
int y = n - size.height / 2 + i;
if (x < 0 || x >= mat.cols || y < 0 || y >= mat.rows)
continue;
int data = mat.at<unsigned char>(y, x);
if (data != 0)
count++;
}
}
if (count <= threshold)
{
blur.at<unsigned char>(i, j)=0;
}
}
}
}